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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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good academic publication record Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc. Good to have knowledge of network analysis, machine learning, neural
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for existing commercial products. The work will involve numerical investigation of two-phase flows over louvre panels and experimental verification as well as optimal design by using neural network techniques
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world models with generative AI and theory-informed neural networks. Job Responsibilities: Conducting theoretical and empirical studies on economic world models, with a strong emphasis on critical finance
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and Regeneration Immunity and Regeneration. Neural Regeneration. Organ Engineering and Synthetic Biology. Stem Cells and Regeneration Located at one of the world's largest regenerative medicine and stem
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/ Heart and Muscle Development and Regeneration Immunity and Regeneration. Neural Regeneration. Organ Engineering and Synthetic Biology. Stem Cells and Regeneration Located at one of the world's largest
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stakeholders. Key Responsibilities • Develop and validate deep learning and machine learning models for behaviour modelling, including foundation models, graph neural networks (GNNs), and sequence models applied
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Immunity and Regeneration. Neural Regeneration. Organ Engineering and Synthetic Biology. Stem Cells and Regeneration Located at one of the world's largest regenerative medicine and stem cell research hubs
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candidate will work with open available datasets obtained in rodents and unique datasets of neural activity. Your primary focus will be to design new learning frameworks and neural network architectures